Hybrid Lead Data Scientist – Payment Data

at GoTo Group

• Job title: Lead Data Scientist – Payment Data
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python, PyTorch, Scikit-Learn, Spark, Tensorflow
• Location requirements: Hybrid, Singapore

About the role

• Lead Data Scientist driving the development of personalization and recommendation systems at GoPay. Collaborating with Product and Engineering teams to deploy scalable ML pipelines.

Responsibilities

• Drive the development of GoPay’s personalization and recommendation systems to deliver relevant offers, merchants, and experiences.
• Define the technical direction for recommendation models.
• Work closely with Product and Engineering to deploy scalable ML pipelines.
• Lead experimentation to measure business impact.
• Continuously improve models in production.
• Mentor data scientists.
• Align personalization efforts with GoTo’s broader roadmap.

Requirements

• 6–8 years of relevant experience in applied data science or machine learning roles.
• Proficiency in Python, and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Solid understanding of ML fundamentals including supervised learning, ranking, embeddings, and evaluation metrics.
• Hands-on experience in recommender systems, personalization, search, or ranking models is strongly preferred.
• Experience working with large-scale datasets using platforms such as Spark, MaxCompute (MC), or other distributed data environments.
• Strong analytical and problem-solving skills, with the ability to translate complex data insights into actionable recommendations.
• Good communication skills to engage with cross-functional partners and present results clearly.
• Master’s or Ph.D. in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field) is a plus.